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--- |
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license: mit |
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--- |
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## Dataset Description |
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- **Repository:** [MORepair](https://github.com/buaabarty/morepair) |
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- **Paper:** [MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning](https://arxiv.org/abs/2404.12636) |
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- **Point of Contact:** [Boyang Yang](mailto:[email protected]) |
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### Dataset Summary |
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D4J-Repair is a curated subset of Defects4J, containing 371 single-function Java bugs from real-world projects. Each example includes a buggy implementation, its corresponding fixed version, and unit tests for verification. |
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### Supported Tasks |
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- Program Repair: Fixing bugs in Java functions |
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- Code Generation: Generating correct implementations from buggy code |
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### Dataset Structure |
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Each row contains: |
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- `task_id`: Unique identifier for the task (in format: project_name-bug_id) |
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- `buggy_code`: The buggy implementation |
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- `fixed_code`: The correct implementation |
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- `file_path`: Original file path in the Defects4J repository |
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- `issue_title`: Title of the bug |
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- `issue_description`: Description of the bug |
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- `start_line`: Start line of the buggy function |
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- `end_line`: End line of the buggy function |
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### Source Data |
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This dataset is derived from Defects4J, a collection of reproducible bugs from real-world Java projects. We carefully selected and processed single-function bugs to create this benchmark. |
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### Citation |
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```bibtex |
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@article{morepair, |
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author = {Yang, Boyang and Tian, Haoye and Ren, Jiadong and Zhang, Hongyu and Klein, Jacques and Bissyande, Tegawende and Le Goues, Claire and Jin, Shunfu}, |
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title = {MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-Tuning}, |
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year = {2025}, |
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publisher = {Association for Computing Machinery}, |
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issn = {1049-331X}, |
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url = {https://doi.org/10.1145/3735129}, |
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doi = {10.1145/3735129}, |
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journal = {ACM Trans. Softw. Eng. Methodol.}, |
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} |
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``` |
